Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry
Jiang L, Gangireddy S, Dickson A, Xin Y, Yan C, Kawai V, Cox N, Linton M, Wei W, Stein C, Feng Q. Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry. Journal Of Lipid Research 2024, 65: 100569. PMID: 38795861, PMCID: PMC11231545, DOI: 10.1016/j.jlr.2024.100569.Peer-Reviewed Original ResearchIndividuals of AAElectronic health recordsMild-to-moderate HTGGenetic risk factorsAfrican ancestryEuropean ancestryGenetic profileIndividuals of European ancestryRisk factorsNormal TGLongitudinal electronic health recordsSevere hypertriglyceridemiaPolygenic risk scoresCohort of AA patientsPatients of African ancestryAPOA5 p.Metabolic genesFunctional variantsCardiovascular risk factorsHigher triglyceride levelsHealth recordsVariant allelesAncestryRisk scoreAA patientsLarge language models facilitate the generation of electronic health record phenotyping algorithms
Yan C, Ong H, Grabowska M, Krantz M, Su W, Dickson A, Peterson J, Feng Q, Roden D, Stein C, Kerchberger V, Malin B, Wei W. Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal Of The American Medical Informatics Association 2024, 31: 1994-2001. PMID: 38613820, PMCID: PMC11339509, DOI: 10.1093/jamia/ocae072.Peer-Reviewed Original ResearchPhenotyping algorithmsLanguage modelElectronic health recordsHigh-quality algorithmsElectronic health record phenotyping algorithmsSQL executionSQL queriesDomain expertsKnowledge discoveryLimited scalabilityData modelCritical metricsAlgorithmic logicAlgorithmCore taskAccurate algorithmHealth recordsSQLElectronic medical recordsExpert evaluation scoresHealth researchEvidence synthesisEHR phenotypesLogicChatGPT